If you do FDM 3D printing, you know one of the biggest problems is sensing the bed. Nearly all printers have some kind of bed probing now, and it makes printing much easier, but there are many different schemes for figuring out where the bed is relative to the head. [ModBot] had a Voron with a clicky probe but wanted to reclaim the space it used for other purposes. In the video, also linked below, he reviews the E3D PZ probe which is a piezoelectric washer, and the associated electronics to sense your nozzle crashing into your print bed.

There are many options, and it seems like each has its pros and cons. We do like solutions that actually figure out where the tip is so you don’t have to mess with offsets as you do with probes that measure from a probe tip instead of the print head.

Of course, there are other piezo probes we’ve seen. There are also many other kinds of sensors available. The version from E3D is available as a kit you can add to anything, assuming you can figure out how. Or you can do like [ModBot] did and opt for an E3D heatsink with the washer already in place which, presumably, will best fit E3D products.

From the printer’s point of view, the device looks like a normal end stop, so it is simple to configure the printer. There are other ways to sense a head crash, of course. We keep meaning to install one of the “real time” sensors you can get now, but our CR Touch works well enough that we never find the time.

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If you ever wished electrons would just behave, this one’s for you. A team from Tohoku, Osaka, and Manchester Universities has cracked open an interesting phenomenon in the chiral helimagnet α-EuP₃: they’ve induced one-way electron flow without bringing diodes into play. Their findings are published in the Proceedings of the National Academy of Sciences.

The twist in this is quite literal. By coaxing europium atoms into a chiral magnetic spiral, the researchers found they could generate rectification: current that prefers one direction over another. Think of it as adding a one-way street in your circuit, but based on magnetic chirality rather than semiconductors. When the material flips to an achiral (ferromagnetic) state, the one-way effect vanishes. No asymmetry, no preferential flow. They’ve essentially toggled the electron highway signs with an external magnetic field. This elegant control over band asymmetry might lead to low-power, high-speed data storage based on magnetic chirality.

If you are curious how all this ties back to quantum theory, you can trace the roots of chiral electron flow back to the early days of quantum electrodynamics – when physicists first started untangling how particles and fields really interact.

There’s a whole world of weird physics waiting for us. In the field of chemistry, chirality has been covered by Hackaday, foreshadowing the lesser favorable ways of use. Read up on the article and share with us what you think.

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[Niklas Roy] obviously had a great time building this generative art cabinet that puts you in the role of the curator – ever-changing images show on the screen, but it’s only when you put your money in that it prints yours out, stamps it for authenticity, and cuts it off the paper roll with a mechanical box cutter.

If you like fun machines, you should absolutely go check out the video (embedded below without resorting to YouTube!). The LCD screen has been stripped of its backlight, allowing you to verify that the plot exactly matches the screen by staring through it. The screen flashes red for a sec, and your art is then dispensed. It’s lovely mechatronic theater. We also dig the “progress bar” that is represented by how much of your one Euro’s worth of art it has plotted so far. And it seems to track perfectly; Bill Gates could learn something from watching this. Be sure to check out the build log to see how it all came together.

You’d be forgiven if you expected some AI to be behind the scenes these days, but the algorithm is custom designed by [Niklas] himself, ironically adding to the sense of humanity behind it all. It takes the Unix epoch timestamp as the seed to generate a whole bunch of points, then it connects them together. Each piece is unique, but of course it’s also reproducible, given the timestamp. We’re not sure where this all lies in the current debates about authenticity and ownership of art, but that’s for the comment section.

If you want to see more of [Niklas]’s work, well this isn’t the first time his contraptions have graced our pages. But just last weekend at Hackaday Europe was the first time that he’s ever given us a talk, and it’s entertaining and beautiful. Go check that out next.

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We know how [Techmoan] feels. In the 1980s we had a bewildering array of oddball gadgets and exciting new tech. But as kids we didn’t have money to buy a lot of what we saw. But he had a £5 note burning a hole in his pocket from Christmas and found a Casio RD-10 “card radio” on sale and grabbed it. He’s long-ago lost that one, but he was able to find a new old stock one and shows us the little gadget in the video below.

The card-thin (1.9 mm) FM radio had many odd features, especially for the 1980s. For one thing, it took a coin cell, which was exotic in those days. The headphones had a special flat connector that reminded us of an automotive fuse. Even the idea of an earbud was odd at that time.

It was a good idea not to lose the earbud, as it had that strange connector. The earbud worked as the antenna and power switch, too. Oddly enough, you could get a slightly fatter AM radio version, and they even made one that was AM and FM. Unsurprisingly, Casio even made a version with a calculator built-in. It had a solar cell, but that only powers the calculator. You still needed the coin cell for the radio.

The sound? Meh. But what did you expect? There was a stereo version, too. However, that one had a rechargeable battery, which was not in good health after a few decades. He also shows a Sony card radio that is a bit different. We were hoping for a teardown, especially of the rechargeable since it was toast, anyway, but for now, we’ll have to imagine what’s inside.

We love nostalgic radios, although usually they are a little older. We miss the days when a kid might think it was cool to see an ad touting: “Oh boy! We’re radio engineers!”

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Uno studio condotto dai ricercatori della Duke University, della Carnegie Mellon, dell’Università di Oxford e di Yale mette in discussione la possibilità di utilizzare l’intelligenza artificiale per prendere decisioni morali al momento dell’assegnazione dei reni ai donatori.

Nell’articolo preprint “L’intelligenza artificiale può modellare le complessità del processo decisionale morale umano? Uno studio qualitativo sulle decisioni di allocazione renale” In un’analisi dettagliata di oltre 18.000 parole, gli autori Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong, Breanna K. Nguyen, Hoda Heidari e Jana Schaich Borg esplorano se l’intelligenza artificiale può replicare le sfumature delle decisioni morali umane.

I dati dei National Institutes of Health mostrano che negli Stati Uniti oltre 800.000 pazienti dipendono regolarmente dalla dialisi o dal trapianto, mentre la National Kidney Foundation segnala 12 decessi al giorno dovuti alla mancanza di un organo idoneo. Allo stesso tempo, fino al 20% dei reni dei donatori rimane inutilizzato, il che solleva la questione della necessità di ottimizzare l’allocazione delle risorse.

Lo studio ha incluso interviste con 20 partecipanti non medici. È stato chiesto ai soggetti di determinare quali pazienti sarebbero stati idonei a un trapianto, dato il previsto aumento dell’aspettativa di vita. I risultati hanno mostrato che alcuni partecipanti favorivano le persone più giovani, mentre altri temevano discriminazioni nei confronti delle persone più anziane; alcuni ritenevano inoltre che lo stile di vita del paziente dovesse svolgere un ruolo decisivo.

L’analisi conferma che il processo di scelta morale è dinamico e mutevole, il che lo rende difficile da riprodurre negli algoritmi.

Nonostante il potenziale dell’intelligenza artificiale nell’eliminare gli errori cognitivi e ridurre l’impatto dei pregiudizi umani, gli esperti sottolineano che le tecnologie attuali non sono in grado di modellare completamente il processo decisionale etico ideale e dovrebbero servire solo come strumenti ausiliari, lasciando l’ultima parola agli specialisti.

L'articolo Trapianti di Rene: L’Intelligenza Artificiale Può Prendere Decisioni Etiche? proviene da il blog della sicurezza informatica.

La Corte, chiamata a pronunciarsi sulla disciplina dell'adozione internazionale che non include le persone singole fra coloro che possono adottare, ha affermato che tale esclusione si pone in contrasto con gli articoli 2 e 117, primo comma, della Costituzione, quest'ultimo in relazione all'articolo 8 della Convenzione europea dei diritti dell'uomo.

C'è voluta la Corte Costituzionale per stabilire che per un bambino orfano è meglio avere un genitore adottivo che non averne neanche uno e dover restare in un istituto.

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